{
 "id": "MedOtter/PanSegData",
 "owner": "MedOtter",
 "name": "PanSegData",
 "downloads": 70,
 "likes": 0,
 "last_modified": "2026-08-02T01:39:57.000Z",
 "stated_licence": "cc-by-nc-4.0",
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 "tasks": [
  "image-segmentation"
 ],
 "citation": "@article{zhang2025pansegnet,\n  author  = {Zhang, Zheyuan and Keles, Elif and Durak, Gorkem and Taktak, Yavuz and\n             Susladkar, Onkar and Gorade, Vandan and Jha, Debesh and\n             Ormeci, Asli C. and Medetalibeyoglu, Alpaslan and Yao, Lanhong and\n             Wang, Bin and Isler, Ilkin Sevgi and Peng, Linkai and Pan, Hongyi and\n             Vendrami, Camila L. and Bourhani, Amir and Velichko, Yury and\n             Gong, Boqing and Spampinato, Concetto and Pyrros, Ayis and\n             Tiwari, Pallavi and Klatte, Derk C. F. and Engels, Megan and\n             Hoogenboom, Sanne and Bolan, Candice W. and Agarunov, Emil and\n             Harfouch, Nassier and Huang, Chenchan and Bruno, Marco J. and\n             Schoots, Ivo and Keswani, Rajesh N. and Miller, Frank H. and\n             Gonda, Tamas and Yazici, Cemal and Tirkes, Temel and\n             Turkbey, Baris and Wallace, Michael B. and Bagci, Ulas},\n  title   = {Large-scale multi-center CT and MRI segmentation of pancreas with deep learning},\n  journal = {Medical Image Analysis},\n  volume  = {99},\n  pages   = {103382},\n  year    = {2025},\n  doi     = {10.1016/j.media.2024.103382}\n}",
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 "reason": "The declared licence (cc-by-nc-4.0) is classified as having use restrictions.",
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}